{"id":"https://openalex.org/W1923377100","doi":"https://doi.org/10.1109/dcc.2002.1000003","title":"Using multiple Huffman code tables for optimal coding of DCT blocks","display_name":"Using multiple Huffman code tables for optimal coding of DCT blocks","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1923377100","doi":"https://doi.org/10.1109/dcc.2002.1000003","mag":"1923377100"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2002.1000003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2002.1000003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC 2002. Data Compression Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041876176","display_name":"G. Lakhani","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G. Lakhani","raw_affiliation_strings":["Texas Tech University, USA","Texas Tech University, Lubbock TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas Tech University, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Texas Tech University, Lubbock TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041876176"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09619957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"460","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.9702649712562561},{"id":"https://openalex.org/keywords/canonical-huffman-code","display_name":"Canonical Huffman code","score":0.8880553245544434},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6170946955680847},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.6118705868721008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5835456848144531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5520043969154358},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5062602758407593},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.48756760358810425},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4638991355895996},{"id":"https://openalex.org/keywords/shannon\u2013fano-coding","display_name":"Shannon\u2013Fano coding","score":0.4635903239250183},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4579467177391052},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.45081526041030884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43273866176605225},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.41760846972465515},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.37103337049484253},{"id":"https://openalex.org/keywords/code-rate","display_name":"Code rate","score":0.18532291054725647},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17872506380081177},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.14560335874557495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10038033127784729},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.07536613941192627},{"id":"https://openalex.org/keywords/systematic-code","display_name":"Systematic code","score":0.06182023882865906}],"concepts":[{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.9702649712562561},{"id":"https://openalex.org/C115223089","wikidata":"https://www.wikidata.org/wiki/Q4885542","display_name":"Canonical Huffman code","level":5,"score":0.8880553245544434},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6170946955680847},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6118705868721008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5835456848144531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5520043969154358},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5062602758407593},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.48756760358810425},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4638991355895996},{"id":"https://openalex.org/C130811719","wikidata":"https://www.wikidata.org/wiki/Q2645","display_name":"Shannon\u2013Fano coding","level":4,"score":0.4635903239250183},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4579467177391052},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.45081526041030884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43273866176605225},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.41760846972465515},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.37103337049484253},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.18532291054725647},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17872506380081177},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.14560335874557495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10038033127784729},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.07536613941192627},{"id":"https://openalex.org/C70992990","wikidata":"https://www.wikidata.org/wiki/Q1681587","display_name":"Systematic code","level":4,"score":0.06182023882865906},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2002.1000003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2002.1000003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC 2002. Data Compression Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2586352442","https://openalex.org/W2344988652","https://openalex.org/W2355839800","https://openalex.org/W2920861277","https://openalex.org/W1607635215","https://openalex.org/W2123072960","https://openalex.org/W2914103308","https://openalex.org/W2351464472","https://openalex.org/W2965391324","https://openalex.org/W2367418279"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"It":[4,71],"is":[5,14,56],"a":[6,11,17,39,73,76,118],"well-known":[7,144],"observation":[8],"that":[9,87],"when":[10],"DCT":[12,66],"block":[13],"traversed":[15],"in":[16,25,34,45,130],"zig-zag":[18],"order,":[19],"the":[20,28,46,81,98,109,122,131,139],"AC":[21,41,153],"coefficients":[22,32,86],"generally":[23],"decrease":[24],"size":[26,133],"and":[27,54,80,96,151],"run-length":[29],"of":[30,38,84,142],"zero":[31,85],"increase":[33],"number.":[35],"Therefore,":[36],"use":[37,59,106],"single":[40],"Huffman":[42,124,154],"code":[43,61,132,155],"table":[44,104],"JPEG":[47,123],"baseline":[48],"algorithm":[49],"leads":[50],"to":[51,58,105,107,121],"sub-optimal":[52],"coding,":[53],"it":[55],"desirable":[57],"multiple":[60],"tables,":[62],"one":[63,93],"for":[64],"each":[65],"coefficient":[67],"position,":[68],"if":[69],"necessary.":[70],"creates":[72],"problem,":[74,115],"because":[75],"nonzero":[77],"coefficient,":[78],"X,":[79,89],"run-length,":[82],"Z,":[83],"precede":[88],"are":[90],"coded":[91],"as":[92],"element":[94],"(Z,X),":[95],"therefore,":[97],"decoder":[99],"may":[100],"not":[101],"know":[102],"which":[103],"decode":[108],"next":[110],"X.":[111],"To":[112,127],"solve":[113],"this":[114],"we":[116,137],"made":[117],"minor":[119],"modification":[120],"coding":[125],"algorithm.":[126],"evaluate":[128],"reduction":[129],"using":[134],"our":[135],"method,":[136],"compressed":[138],"luminancec":[140],"component":[141],"ten":[143],"test":[145],"images":[146],"at":[147],"default":[148],"quality":[149],"level":[150],"computed":[152],"size.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}